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Special issue on computational tradeoffs under bounded resources

Eric Horvitz, Shlomo Zilberstein
1998 Artificial Intelligence  
Topics of interest include: computational tradeoffs in inference, planning, and search, flexible representations of knowledge, problem instances, representation and measurement of computational tradeoffs  ...  , probabilistic inference, planning and scheduling, signal interpretation, medical diagnosis and treatment, and intelligent information retrieval.  ...  Topics of interest include: computational tradeoffs in inference, planning, and search, flexible representations of knowledge, problem instances, representation and measurement of computational tradeoffs  ... 
doi:10.1016/s0004-3702(98)00037-x fatcat:hle4wtz4rbgrpe3pupddxupylm

A theory of inferred causation [chapter]

Judea Pearl, Thomas S. Verma
1995 Studies in Logic and the Foundations of Mathematics  
Information Sciences CIS 830: Advanced Topics in Artificial Intelligence - University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence • Likelihood  ...  (aka score) that evaluates how well (in)dependencies in a structure match observations -Search for structure that maximizes score -Statistically and information theoretically motivated -Can make compromises  ... 
doi:10.1016/s0049-237x(06)80074-1 fatcat:gihsurzxdjebhkbtilxcjlhtqi

Special issue on computational tradeoffs under bounded resources

1998 Artificial Intelligence  
Topics of interest include: l computational tradeoffs in inference, planning, and search, l flexible representations of knowledge, problem instances, l representation and measurement of computational tradeoffs  ...  , probabilistic inference, planning and scheduling, signal interpretation, medical diagnosis and treatment, and intelligent information retrieval.  ...  l partitioning resources between metalevel and object-level reasoning, l evaluation of methods for decisions about computational tradeoffs, l scalability to real-world solutions and applications.  ... 
doi:10.1016/s0004-3702(98)90014-5 fatcat:xfdrlug33bcj5pmakvgimy6ljq

Special issue on computational tradeoffs under bounded resources

1998 Artificial Intelligence  
Topics of interest include: l computational tradeoffs in inference, planning, and search, l flexible representations of knowledge, problem instances, l representation and measurement of computational tradeoffs  ...  , probabilistic inference, planning and scheduling, signal interpretation, medical diagnosis and treatment, and intelligent information retrieval.  ...  l evaluation of methods for decisions about computational tradeoffs, l scalability to real-world solutions and applications. Submission information Deadline for submissions: October 31,1998.  ... 
doi:10.1016/s0004-3702(98)90004-2 fatcat:4leqzkj5ujg6rnw4ftgv4g3nyq

Research Paper on Artificial Intelligence

Pooja Agarwal, Pooja Yadav, Neelam Sharma, Ruchika Uniyal
2013 Zenodo  
The two most common are LISP and Prolog. Artificial intelligence is working a lot in decreasing human effort but with less growth.  ...  Today, the hottest area of artificial intelligence is neural networks, which are proving successful in a number of disciplines such as voice recognition and natural-language processing.  ...  Figure2. benefits of artificial intelligence Search And Optimization Many problems in AI can be solved in theory by intelligently searching through many possible solutions that is reasoning can be reduced  ... 
doi:10.5281/zenodo.3521140 fatcat:diqzc6bhmbfudo7b3jazavhq2y

Research Paper on Artificial Intelligence

Jaspreet Singh
2017 International Journal of Scientific Research and Management  
Today, the hottest area of artificial .intelligence is neural networks, which are proving successful in a number of disciplines such as voice recognition and natural-language processing.  ...  Artificial intelligence includes game playing, expert systems, neural networks, natural language, and robotics.  ...  Tools Used In Artificial Intelligence: 6.1 Optimization: Many problems in AI can be solved in theory by intelligently searching through many possible solutions that is reasoning can be reduced to performing  ... 
doi:10.18535/ijsrm/v5i11.10 fatcat:rurxusny5zcrpkelt477oo73ku

Page 6657 of Mathematical Reviews Vol. , Issue 90K [page]

1990 Mathematical Reviews  
Search in artificial intelligence, 166-199, Symbol. Comput. Artificial Intelligence, Springer, New York-Berlin, 1988.  ...  Search in artificial intelligence, 200-222, Symbol. Comput. Artificial Intelligence, Springer, New York-Berlin, 1988.  ... 

Heuristic self-organization of knowledge representation and development: analysis in the context of explainable artificial intelligence

Sergiy Dotsenko, Vyacheslav Kharchenko, Olga Morozova, Andrzej Rucinski, Svitlana Dotsenko
2022 RADIOELECTRONIC AND COMPUTER SYSTEMS  
The explainability of artificial intelligence refers to the laws of the structure and activity of artificial neural networks.  ...  Based on this, the concept of "explainability of artificial intelligence" was introduced for artificial intelligence.  ...  The authors very appreciated to scientific society of consortium and in particular the staff of Department of Computer Systems, Networks and Cybersecurity of Na-  ... 
doi:10.32620/reks.2022.1.04 fatcat:tsfp6vhgifbjrie4x6ftyyxehq

Intelligent Model for Electric Power Management: Patterns

Amelec Viloria, Hugo Hernández Palma, Ramiro Gamboa Suarez, William Niebles Núñez, José Solórzano Movilla
2020 Journal of Physics, Conference Series  
In this sense, electrical energy must be saved and used completely and that is why the term energy efficiency is born.  ...  This new trend seeks to save electric power to avoid electricity supply shortages, as when countries face phenomena such as El Niño that generate droughts in some areas and rains in others.  ...  Techniques The artificial intelligence techniques are applied to searches in trees, which can be informed or not informed.  ... 
doi:10.1088/1742-6596/1432/1/012032 fatcat:pfzilxbrtrge7dqwt4t4t7ilty

Analyses of the method development of decisions in an expert system with the use of information from an artificial neural network

Stanisław Duer, Konrad Zajkowski, Serghei Scaticailov, Paweł Wrzesień, L. Slătineanu, V. Merticaru, A.M. Mihalache, O. Dodun, M.I. Ripanu, G. Nagit, M. Coteata, M. Boca (+2 others)
2018 MATEC Web of Conferences  
The present article covers the use of an artificial intelligence system in the organization of the prevention of technical objects.  ...  An artificial neural network and an expert system, which work among others on the basis of the information developed by the neural network, perform a special function in these systems.  ...  An approach which consists in procedural processing based on algorithms is replaced with intelligent searching in technological systems through the applications of artificial intelligence methods.  ... 
doi:10.1051/matecconf/201817807002 fatcat:l5h6vlic4vg5vdvzt3oooal42e

Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument [article]

Sebastian Benthall
2017 arXiv   pre-print
In recent years prominent intellectuals have raised ethical concerns about the consequences of artificial intelligence.  ...  We conclude that concern about this artificial intelligence outcome is misplaced and better directed at policy questions around data access and storage.  ...  This is unfortunate and a consequence of some of the vagueness in discussion of artificial intelligence ethics and risk in Bostrom and elsewhere.  ... 
arXiv:1702.08495v2 fatcat:tlahwy6nvjb47gnt4rqbqtrfte

Intelligent Tourist Information System

Tirth Shah, Sonal Rami, Ayesha Shaikh
2017 International Journal of Computer Applications  
There are different modules, different path finding systems and shortest path finding algorithms of artificial intelligence in this thesis.  ...  The Shortest path finding algorithm should work efficiently and optimally in most of the cases.  ...  It will help in designing the efficient, fast searching artificial intelligence algorithms with optimization.  ... 
doi:10.5120/ijca2017914444 fatcat:62xty4xryvhmbpgn6bulzamvmq

Scaling-Up MAP and Marginal MAP Inference in Markov Logic

Somdeb Sarkhel
2016 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
However, inference in them is hard because the graphical models can be extremely large, having millions of variables and features (potentials).  ...  Therefore, several lifted inference algorithms that exploit relational structure and operate at the compact first-order level, have been developed in recent years.  ...  Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence  ... 
doi:10.1609/aaai.v30i1.9820 fatcat:aal3qnecqnfqlpvhhvahps25py

語の活性度に基づくキーワード抽出法
Automatic Indexing Based on Term Activity

Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka
2002 Transactions of the Japanese society for artificial intelligence  
With the increasing number of electronic documents, automatic indexing from a document is an essential approach in information retrieval systems, such as search engines.  ...  Our approach employs a spreading activation model to extract keywords based on the activity of terms without using corpus, thesaurus, syntactic analysis, dependency relations between terms, and the other  ...  Hogg: Phase transitions in artificial intelligence systems, Artificial Intelligence, 33, pp. 155-171, 1987. [ 91] : , , Vol. 74-D-I, No. 8, pp. 556-566, 1991.  ... 
doi:10.1527/tjsai.17.398 fatcat:ezrvtvuuarb6zlrpkp64m7owka

Page 2595 of Mathematical Reviews Vol. , Issue 97D [page]

1997 Mathematical Reviews  
(English summary) Frontiers in problem solving: phase transitions and complexity. Artificial Intelligence 81 (1996), no. 1-2, 127-154.  ...  (English summary ) Mathematical and statistical methods in artificial intelligence (Udine, 1994), 105-118, CISM Courses and Lectures, 363, Springer, Vienna, 1995.  ... 
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